About the Company: Join a world-class communications technology developer that is part of a multi-national organisation with revenues in the billions. Renowned for delivering advanced, high-reliability solutions across the communications sectorincluding satellite, wireless, and secure systemsour client offers the opportunity to work on innovative projects at the forefront of connectivity. They are expanding their systems engineering team and are seeking an experienced RF Systems Engineer to lead and support the architecture, integration, and validation of complex RF-based systems. Role Overview: As an RF Systems Engineer, you will be responsible for defining and developing end-to-end RF and communications system solutions, bridging the gap between hardware, software, and systems integration. You will work with multidisciplinary teams to ensure that the RF performance meets demanding requirements across a variety of challenging environments. Key Responsibilities: Collaborate with hardware and software teams to ensure product interface and functionality Understand requirements and review architecture. Review test, acceptance and compliance. Monitor appropriate adherence to the V model. Ensure good engineering practice is followed. Support the companys risk management process and ensure it is applied appropriately to projects. Work with stakeholders across the company to understand future needs and requirements Engage across multiple functions to understand implications on technical decisions made Help establish commonality and compatibility across systems Required Skills and Experience: Extensive experience of the full product development lifecycle Excellent knowledge of communications systems equipment specification, design or test Understanding of a wide range of network technologies Proven experience in an RF focussed design engineering position Understanding of VHF/UHF communications, Navigation and Surveillance Systems Ability to break down requirements to functional use cases Desirable Qualifications: Degree in Electronics, RF Engineering, Telecommunications, or related discipline Experience in satellite communications, wireless infrastructure, or defence-related RF systems Exposure to tools such as MATLAB, CST, HFSS, or Keysight PathWave Understanding of regulatory and compliance considerations in RF product design Benefits include hybrid/remote working, 25 days annual leave, 8% pension scheme, private medical insurance, life assurance 4x salary, continuous training and development, employee reward and recognition scheme, employee assistance programme and BUPA wellbeing services. JBRP1_UKTJ
08/09/2025
Full time
About the Company: Join a world-class communications technology developer that is part of a multi-national organisation with revenues in the billions. Renowned for delivering advanced, high-reliability solutions across the communications sectorincluding satellite, wireless, and secure systemsour client offers the opportunity to work on innovative projects at the forefront of connectivity. They are expanding their systems engineering team and are seeking an experienced RF Systems Engineer to lead and support the architecture, integration, and validation of complex RF-based systems. Role Overview: As an RF Systems Engineer, you will be responsible for defining and developing end-to-end RF and communications system solutions, bridging the gap between hardware, software, and systems integration. You will work with multidisciplinary teams to ensure that the RF performance meets demanding requirements across a variety of challenging environments. Key Responsibilities: Collaborate with hardware and software teams to ensure product interface and functionality Understand requirements and review architecture. Review test, acceptance and compliance. Monitor appropriate adherence to the V model. Ensure good engineering practice is followed. Support the companys risk management process and ensure it is applied appropriately to projects. Work with stakeholders across the company to understand future needs and requirements Engage across multiple functions to understand implications on technical decisions made Help establish commonality and compatibility across systems Required Skills and Experience: Extensive experience of the full product development lifecycle Excellent knowledge of communications systems equipment specification, design or test Understanding of a wide range of network technologies Proven experience in an RF focussed design engineering position Understanding of VHF/UHF communications, Navigation and Surveillance Systems Ability to break down requirements to functional use cases Desirable Qualifications: Degree in Electronics, RF Engineering, Telecommunications, or related discipline Experience in satellite communications, wireless infrastructure, or defence-related RF systems Exposure to tools such as MATLAB, CST, HFSS, or Keysight PathWave Understanding of regulatory and compliance considerations in RF product design Benefits include hybrid/remote working, 25 days annual leave, 8% pension scheme, private medical insurance, life assurance 4x salary, continuous training and development, employee reward and recognition scheme, employee assistance programme and BUPA wellbeing services. JBRP1_UKTJ
About the Company: Our client is a globally recognised leader in the development of advanced communications technology, operating as part of a multi-national group with revenues in the billions. Their solutions power next-generation connectivity across a range of sectors, including satellite, wireless, and secure communications. With a strong pipeline of innovation-driven projects, they are growing their engineering team and seeking a DSP Engineer to support and lead digital signal processing developments. Role Overview: As a DSP Engineer, you will play a key role in the design, implementation, and optimization of real-time signal processing algorithms for cutting-edge communication systems. You will work closely with cross-functional teams to deliver high-performance, scalable DSP solutions used in mission-critical environments. Key Responsibilities: Design and develop DSP algorithms for modulation, demodulation, filtering, error correction, synchronization, and other signal processing tasks Implement algorithms in simulation (e.g., MATLAB, Python) and in embedded environments (e.g., C/C++ on DSPs, FPGAs, or SoCs) Analyze system-level performance, including link budgets and BER performance Collaborate with FPGA, software, and systems engineers to support hardware-software integration Optimize DSP code for computational efficiency, memory usage, and real-time constraints Participate in design reviews, verification activities, and lab-based testing of communications systems Required Skills and Experience: Strong experience in digital signal processing for communications systems Hands-on experience with implementation in C/C++ for embedded systems or fixed-point processors Solid understanding of key DSP concepts: FFTs, FIR/IIR filters, adaptive filtering, modulation techniques, channel coding, etc. Exposure to real-time operating systems (RTOS) or bare-metal development environments Ability to interpret and influence system-level design decisions Desirable Qualifications: Degree in Electrical Engineering, Computer Engineering, or related discipline (advanced degrees preferred) Experience with FPGA/ASIC development or hardware/software co-design Background in wireless, satellite, or secure communications Familiarity with tools such as GNU Radio, Xilinx Vivado, or Texas Instruments DSP SDKs Whats on Offer: Work on high-impact projects within a global communications leader Access to world-class technology, labs, and cross-disciplinary teams A collaborative culture with strong technical mentorship and career growth opportunities Competitive compensation, with performance incentives and a comprehensive benefits package Benefits include hybrid/remote working, 25 days annual leave, 8% pension scheme, private medical insurance, life assurance 4x salary, continuous training and development, employee reward and recognition scheme, employee assistance programme and BUPA wellbeing services. JBRP1_UKTJ
08/09/2025
Full time
About the Company: Our client is a globally recognised leader in the development of advanced communications technology, operating as part of a multi-national group with revenues in the billions. Their solutions power next-generation connectivity across a range of sectors, including satellite, wireless, and secure communications. With a strong pipeline of innovation-driven projects, they are growing their engineering team and seeking a DSP Engineer to support and lead digital signal processing developments. Role Overview: As a DSP Engineer, you will play a key role in the design, implementation, and optimization of real-time signal processing algorithms for cutting-edge communication systems. You will work closely with cross-functional teams to deliver high-performance, scalable DSP solutions used in mission-critical environments. Key Responsibilities: Design and develop DSP algorithms for modulation, demodulation, filtering, error correction, synchronization, and other signal processing tasks Implement algorithms in simulation (e.g., MATLAB, Python) and in embedded environments (e.g., C/C++ on DSPs, FPGAs, or SoCs) Analyze system-level performance, including link budgets and BER performance Collaborate with FPGA, software, and systems engineers to support hardware-software integration Optimize DSP code for computational efficiency, memory usage, and real-time constraints Participate in design reviews, verification activities, and lab-based testing of communications systems Required Skills and Experience: Strong experience in digital signal processing for communications systems Hands-on experience with implementation in C/C++ for embedded systems or fixed-point processors Solid understanding of key DSP concepts: FFTs, FIR/IIR filters, adaptive filtering, modulation techniques, channel coding, etc. Exposure to real-time operating systems (RTOS) or bare-metal development environments Ability to interpret and influence system-level design decisions Desirable Qualifications: Degree in Electrical Engineering, Computer Engineering, or related discipline (advanced degrees preferred) Experience with FPGA/ASIC development or hardware/software co-design Background in wireless, satellite, or secure communications Familiarity with tools such as GNU Radio, Xilinx Vivado, or Texas Instruments DSP SDKs Whats on Offer: Work on high-impact projects within a global communications leader Access to world-class technology, labs, and cross-disciplinary teams A collaborative culture with strong technical mentorship and career growth opportunities Competitive compensation, with performance incentives and a comprehensive benefits package Benefits include hybrid/remote working, 25 days annual leave, 8% pension scheme, private medical insurance, life assurance 4x salary, continuous training and development, employee reward and recognition scheme, employee assistance programme and BUPA wellbeing services. JBRP1_UKTJ
Data Scientist(one day a week in the central London office) Sports Analytics This role is a unique opportunity for aData Scientistto combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience withKerasorPyTorchis required. Full-Stack Deployment:Demonstrable experience taking models to production, including building and deploying APIs withFastAPIand usingVertex AIfor ML workflows. Visualization & Communication:Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain:Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling:Experience with probabilistic programming (e.g., PyMC). Stakeholder Management:Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote depending on role) Opportunity to grow with a digital-first team inside a world-renowned club JBRP1_UKTJ
07/09/2025
Full time
Data Scientist(one day a week in the central London office) Sports Analytics This role is a unique opportunity for aData Scientistto combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience withKerasorPyTorchis required. Full-Stack Deployment:Demonstrable experience taking models to production, including building and deploying APIs withFastAPIand usingVertex AIfor ML workflows. Visualization & Communication:Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain:Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling:Experience with probabilistic programming (e.g., PyMC). Stakeholder Management:Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote depending on role) Opportunity to grow with a digital-first team inside a world-renowned club JBRP1_UKTJ
Data Scientist(one day a week in the central London office) Sports Analytics This role is a unique opportunity for aData Scientistto combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience withKerasorPyTorchis required. Full-Stack Deployment:Demonstrable experience taking models to production, including building and deploying APIs withFastAPIand usingVertex AIfor ML workflows. Visualization & Communication:Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain:Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling:Experience with probabilistic programming (e.g., PyMC). Stakeholder Management:Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote depending on role) Opportunity to grow with a digital-first team inside a world-renowned club JBRP1_UKTJ
07/09/2025
Full time
Data Scientist(one day a week in the central London office) Sports Analytics This role is a unique opportunity for aData Scientistto combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this team, youll not only be part of a creative and open work culture focused on innovation and excellence but also have the chance to work with and collaborate with some of the most well-known footballers in the industry. This position offers significant opportunities for professional growth within sports analytics and the potential to impact sports performance through advanced technology, making it an ideal setting for those passionate about leveraging cutting-edge technology to make meaningful contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other stakeholders to understand their needs and provide actionable insights. Stay updated with the latest trends and advancements in sports analytics and data science. As the selected Data Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience withKerasorPyTorchis required. Full-Stack Deployment:Demonstrable experience taking models to production, including building and deploying APIs withFastAPIand usingVertex AIfor ML workflows. Visualization & Communication:Ability to create clear visualizations and effectively communicate technical findings to non-technical stakeholders. Highly desirable skills include: Football Analytics Domain:Significant plus if experienced with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling:Experience with probabilistic programming (e.g., PyMC). Stakeholder Management:Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work that impacts elite football performance and club-wide success Access to real-world sports data and performance analytics Flexible working options (hybrid/remote depending on role) Opportunity to grow with a digital-first team inside a world-renowned club JBRP1_UKTJ
Jobs - Frequently Asked Questions
Use the location filter to find IT jobs in cities like London, Manchester, Birmingham, and across the UK.
Entry-level roles include IT support technician, junior developer, QA tester, and helpdesk analyst.
New jobs are posted daily. Set up alerts to be notified as soon as new roles match your preferences.
Key skills include problem-solving, coding, cloud computing, networking, and familiarity with tools like AWS or SQL.
Yes, many employers offer training or junior roles. Focus on building a strong CV with relevant coursework or personal projects.